• DocumentCode
    1904341
  • Title

    Forward Kinematics Analysis of Parallel Robots Using Global Newton-Raphson Method

  • Author

    Yang, Chifu ; Huang, Qitao ; Ogbobe, Peter O. ; Han, Junwei

  • Author_Institution
    Dept. Mech. & Electr. Eng., Harbin Inst. of Technol., Harbin, China
  • Volume
    3
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    407
  • Lastpage
    410
  • Abstract
    A new method, Global Newton-Raphson (GNR), for forward kinematics analysis of six degree-of-freedom (DOF) parallel robots is proposed, in order to obtain direct solutions of parallel robots in real time without divergence. The parallel robot can produce 3-DOF linear motions and 3-DOF angular motions, and feeds back positions of actuators measured by position sensors in real time. The GNR for the robot is built by Taylor series expansion and Newton-Raphson iteration with descent operator. Applying the GNR, the real generalized pose of moving platform is solved with respect to the base for a set of given positions of actuators. Accuracy and real time property of the GNR for the 6-DOF parallel robot are analyzed. The theoretical analysis indicated that the presented method can achieve the numerical convergent solution in real time with high accuracy, even the initial guesses are far from a solution.
  • Keywords
    Newton-Raphson method; actuators; control system analysis; mobile robots; robot kinematics; sensors; 3-DOF angular motion; 3-DOF linear motion; Taylor series expansion; actuator; forward kinematics analysis; global Newton-Raphson method; parallel robot; position sensor; real time property; six degree-of-freedom; Actuators; Closed-form solution; Concurrent computing; Feeds; Intelligent robots; Kinematics; Newton method; Nonlinear equations; Parallel robots; Robotics and automation; Global Newton-Raphson; kinematics; parallel robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.564
  • Filename
    5287993